Tax-benefit microsimulation models, which combine representative household-level data on incomes and expenditures and detailed coding of tax and benefit legislation, have proven to be an extremely useful tool for policy makers and researchers alike. The models apply user-defined tax and benefit policy rules to micro-data on individuals and households and calculate the effects of these rules on household income. The effects of different policy scenarios on poverty, inequality, and government revenues can be analysed and compared.
Ghana, like other developing countries, is now building up its social protection system and the financing of public spending will need to be increasingly based on domestic tax revenues. In this process, understanding the system-wide impacts of different policy choices is critically important, and tax-benefit microsimulation models are very well suited for this purpose.
Purpose and objectives
The purpose of this event is to introduce participants to the latest version of GHAMOD, a tax-benefit microsimulation programme for Ghana, which has been developed under the UNU-WIDER SOUTHMOD project, in collaboration with ISER, UNU-WIDER and University of Ghana.
The training starts with an introduction, the aim of which is to explain the potential benefits of using microsimulation and the type of research that GHAMOD can be used for. The training will also include an overview of the model, the underlying data, and the microsimulation software. The emphasis will be on exercises, where different case studies will be examined using GHAMOD.
Attendees will leave with an appreciation of how to navigate and interpret the GHAMOD user interface; how to run GHAMOD; and how to build and implement a basic policy reform.
To whom the event is targeted at:
Professionals and researchers working on tax and social protection issues in ministries, research institutes, universities, and NGOs.
The course is suitable to newcomers to microsimulation as well as those who have participated in an earlier training who want to refresh their microsimulation skills and are interested to learn about the latest model developments.
GHAMOD is freely available for non-commercial research and analytical work. More information about the model, including how to obtain it, and supporting documentation is available at:
Kwabena Adu-Ababio (University of Helsinki and UNU-WIDER), Robert Darko Osei (University of Ghana), Jukka Pirttilä (University of Helsinki and UNU-WIDER) and Pia Rattenhuber (UNU-WIDER).
Interested training participants must register via this link as there are limited places available.
Ideally all the participants complete the adhesion agreement forms prior the training and submit them through SOUTHMOD access portal:
All COVID Protocols will be strictly observed